Segmentation-Free License Plate Character Recognition Based on Attention Mechanism
In the case of small amount of license plate data,the sample image of license plate is en-hanced,and the small sample data is extended to solve the problem of data equalization.A light-weight li-cense plate character recognition algorithm based on attention mechanism is applied to the enhanced license plate image to realize the end-to-end segmentation-free character deep learning algorithm.SE attention mechanism module is introduced into the algorithm,which can realize different channel weights.The model structure of the algorithm is simplified,the recognition speed is improved,and the algorithm is robust to the slant of the license plate and the light.
万方数据
维普
